基于贝叶斯实验设计优化跨孔高密度电阻率法监测四维水文地质过程

彭勃; 强思远; 施小清

doi:10.19509/j.cnki.dzkq.tb20230600

您当前的位置：

首页 >

文章列表页 >

基于贝叶斯实验设计优化跨孔高密度电阻率法监测四维水文地质过程

更新时间：2026-11-05

- 基于贝叶斯实验设计优化跨孔高密度电阻率法监测四维水文地质过程
- Bulletin of Geological Science and Technology Vol. 44, Issue 5, Pages: 293-301(2025)
- 作者机构：
  
  1. 南京大学地球科学与工程学院
  2. 南京大学表生地球化学教育部重点实验室
- 作者简介：
- 基金信息：
- DOI：10.19509/j.cnki.dzkq.tb20230600
  CLC： P631.322;P641.7
- Online First：17 July 2024，
  
  Published：2025
- 稿件说明：
移动端阅览
彭勃, 强思远, 施小清. 基于贝叶斯实验设计优化跨孔高密度电阻率法监测四维水文地质过程[J]. Bulletin of Geological Science and Technology, 2025, 44(5): 293-301.
DOI：

彭勃, 强思远, 施小清. 基于贝叶斯实验设计优化跨孔高密度电阻率法监测四维水文地质过程[J]. Bulletin of Geological Science and Technology, 2025, 44(5): 293-301. DOI： 10.19509/j.cnki.dzkq.tb20230600.

摘要

地球物理方法可以有效监测四维水文地质过程中水流的动态和物质的传输，其成像精度往往与监测布置方案密切相关。以常用的高密度电阻率法（electrical resistivity tomography，简称ERT）为例，为了获得良好的成像精度往往需要大量的电极排列，导致监测时间较长，因而不能实时响应四维水文地质动态过程。已有ERT监测方案优化研究多侧重地表ERT，很少针对跨孔ERT。由于跨孔ERT在研究区域高精度刻画方面更具优势，提出了采用贝叶斯实验设计优化跨孔ERT监测方案。通过室内静态/动态实验以及野外场地数据，对比优化电极排列与传统电极排列的监测时间与监测精度，验证了贝叶斯实验设计优化方案的有效性。室内实验结果表明：优化后监测方案能减少约75%的监测时间，而且优化方案反演结果能更精准地动态刻画电阻异常区域，显著改善传统方案监测四维水文地质过程的滞后性误差。野外场地实验验证表明：在保证监测精度的前提下优化方案可减少约95%的监测时间。基于贝叶斯实验设计优化跨孔ERT电极排列监测方案为四维水文地质过程的高效监测提供了技术支撑。

Abstract

ObjectiveGeophysical methods can effectively monitor the dynamics of water flow and material transport in 4D hydrogeological processes

and its imaging accuracy is often closely related to the monitoring scheme. Taking the commonly used electrical resistivity tomography (ERT) as an example

obtaining good imaging accuracy often requires a large number of electrode arrays

leading to a long data acquisition time and inability to respond in a timely manner to 4D hydrogeological dynamics. Previous optimization studies of ERT monitoring schemes have mainly focused on surface ERT

whereas cross-hole ERT (CHERT) has received far less attention. MethodsDue to the advantages of CHERT in high-precision characterization

this study proposes using Bayesian experimental design to optimize CHERT monitoring scheme. Through laboratory static and dynamic tests and a field application

data acquisition time and imaging accuracy between the optimized and traditional electrode configurations to evaluate the effectiveness of the Bayesian-based optimization. ResultsLaboratory tests demonstrate that the optimized monitoring scheme can reduce acquisition time by approximately 75%

and the inversion results more accurately delineate the evolving resistivity anomaly zones

thereby mitigating the lag effect observed in traditional schemes. The field application shows that the optimized scheme can reduce monitoring time by approximately 95%. ConclusionThe optimization of CHERT electrode configurations based on Bayesian experimental design provides a technical basis for efficient monitoring of 4D hydrogeological processes.

关键词

Keywords

references

柴伦炜.井间超高密度电法探测基桩的模拟及应用[J].物探与化探,2022(05).

李继兴,严松,杨春健,方跃光.泥质砂岩残积土边坡降雨冲刷特性[J].地质科技通报,2022(02).

郭蕾蕾,魏良帅,黄安邦,舒勤峰.乌蒙山地区岩溶地下水流系统结构及其找水应用[J].地质科技通报,2022(01).

高畅,邢程,郭秀军,邵帅,吴景鑫.不同演化阶段的NAPLs污染区高密度电阻率法探测效果分析[J].中国海洋大学学报(自然科学版),2020(S1).

苏永军,范翠松,赵更新,张国利,刘宏伟,孙大鹏.综合电法在探测海水入侵界面中的研究与应用——以莱州湾地区为例[J].物探与化探,2020(03).

潘剑伟,占嘉诚,洪涛,王海红,李钦泽,李振宇.地面核磁共振方法和高密度电阻率法联合找水[J].地质科技情报,2018(03).

焦如义.高密度电法在水平定向钻穿越孔壁稳定性检测中的应用[J].地质科技情报,2016(02).

刘金涛,胡晓明.高密度电法勘探在岩溶查找中的应用[J].地质科技情报,2003(02).

Hermans Thomas,Goderniaux Pascal,Jougnot Damien,Fleckenstein Jan H.,Brunner Philip,Nguyen Frédéric,Linde Niklas,Huisman Johan Alexander,Bour Olivier,Lopez Alvis Jorge,Hoffmann Richard,Palacios Andrea,Cooke Anne Karin,Pardo Álvarez Álvaro,Blazevic Lara,Pouladi Behzad,Haruzi Peleg,Fernandez Visentini Alejandro,Nogueira Guilherme E. H.,Tirado Conde Joel,Looms Majken C.,Kenshilikova Meruyert,Davy Philippe,Le Borgne Tanguy.Advancing measurements and representations of subsurface heterogeneity and dynamic processes: towards 4D hydrogeology[J].Hydrology and Earth System Sciences,2023.

Asare Albert,Appiah-Adjei Emmanuel K.,Owusu-Nimo Frederick,Ali Bukari.Lateral and vertical mapping of salinity along the coast of Ghana using Electrical Resistivity Tomography: The case of Central Region[J].Results in Geophysical Sciences,2022.

Dimech Adrien,Cheng LiZhen,Chouteau Michel,Chambers Jonathan,Uhlemann Sebastian,Wilkinson Paul,Meldrum Philip,Mary Benjamin,Fabien Ouellet Gabriel,Isabelle Anne.A Review on Applications of Time-Lapse Electrical Resistivity Tomography Over the Last 30 Years : Perspectives for Mining Waste Monitoring[J].Surveys in Geophysics,2022.

Kessouri Pauline,Johnson Tim,Day-Lewis Frederick D.,Wang Chen,Ntarlagiannis Dimitrios,Slater Lee D..Post-remediation geophysical assessment: Investigating long-term electrical geophysical signatures resulting from bioremediation at a chlorinated solvent contaminated site[J].Journal of Environmental Management,2022.

Tzu-Pin Wang,Yao-Tsung Chen,Chien-Chih Chen,Tien-Hsing Tung,Shih-Nan Cheng,Chun-Yi Yu.Application of cross-hole electrical resistivity tomography to groundwater contaminated remediation site[J].Terrestrial, Atmospheric and Oceanic Sciences,2020.

Wang Haoran,Lin Chih-Ping,Liu Hsin-Chang.Pitfalls and refinement of 2D cross-hole electrical resistivity tomography[J].Journal of Applied Geophysics,2020.

Patrizio Torrese.Investigating karst aquifers: Using pseudo 3-D electrical resistivity tomography to identify major karst features[J].Journal of Hydrology,2020.

Tanguy Robert,Claire Paulus,Pierre-Yves Bolly,Emma Koo Seen Lin,Thomas Hermans.Heat as a Proxy to Image Dynamic Processes with 4D Electrical Resistivity Tomography[J].Geosciences,2019.

Fathi M. Abdullah,M.H. Loke,Mohd Nawawi,Khiruddin Abdullah.Assessing the reliability and performance of optimized and conventional resistivity arrays for shallow subsurface investigations[J].Journal of Applied Geophysics,2018.

Timothy C. Johnson,Glenn E. Hammond,Xingyuan Chen.PFLOTRAN-E4D: A parallel open source PFLOTRAN module for simulating time-lapse electrical resistivity data[J].Computers and Geosciences,2017.

Paul Wilkinson,Jonathan Chambers,Sebastian Uhlemann,Philip Meldrum,Alister Smith,Neil Dixon,Meng Heng Loke.Reconstruction of landslide movements by inversion of 4‐D electrical resistivity tomography monitoring data[J].Geophysical Research Letters,2016.

F. Bellmunt,A. Marcuello,J. Ledo,P. Queralt.Capability of cross-hole electrical configurations for monitoring rapid plume migration experiments[J].Journal of Applied Geophysics,2016.

Wilkinson Paul B.,Uhlemann Sebastian,Meldrum Philip I.,Chambers Jonathan E.,Carrière Simon,Oxby Lucy S.,Loke M.H..Adaptive time-lapse optimized survey design for electrical resistivity tomography monitoring[J].Geophysical Journal International,2015.

Johnson Timothy C,Versteeg Roelof J,Day-Lewis Frederick D,Major William,Lane John W.Time-Lapse Electrical Geophysical Monitoring of Amendment-Based Biostimulation.[J].Ground water,2015.

M.H. Loke,P.B. Wilkinson,J.E. Chambers,S.S. Uhlemann,J.P.R. Sorensen.Optimized arrays for 2-D resistivity survey lines with a large number of electrodes[J].Journal of Applied Geophysics,2015.

Xun Huan,Youssef M. Marzouk.Simulation-based optimal Bayesian experimental design for nonlinear systems[J].Journal of Computational Physics,2013.

Konstantinos Leontarakis,George V. Apostolopoulos.Laboratory study of the cross-hole resistivity tomography: The Model Stacking (MOST) Technique[J].Journal of Applied Geophysics,2012.

B. J. M. Goes,J. A. C. Meekes.An Effective Electrode Configuration for the Detection of DNAPLs with Electrical Resistivity Tomography[J].Journal of Environmental & Engineering Geophysics,2004.

Paul B. Wilkinson,Meng Heng Loke,Philip I. Meldrum,Jonathan E. Chambers,Oliver Kuras,David A. Gunn,Richard D. Ogilvy.Practical aspects of applied optimized survey design for electrical resistivity tomography[J].Geophysical Journal International,2012.

Kamini Singha,Steven M. Gorelick.Saline tracer visualized with three‐dimensional electrical resistivity tomography: Field‐scale spatial moment analysis[J].Water Resources Research,2005.

Alex Furman,Ty P. A. Ferré,Art W. Warrick.Optimization of ERT Surveys for Monitoring Transient Hydrological Events Using Perturbation Sensitivity and Genetic Algorithms[J].Vadose Zone Journal,2004.

Peter Stummer,Hansruedi Maurer,Alan G. Green.Experimental design: Electrical resistivity data sets that provide optimum subsurface information[J].Geophysics,2004.

Zhou Bing,S.A. Greenhalgh.Cross‐hole resistivity tomography using different electrode configurations[J].Geophysical Prospecting,2000.

Lindley D. V..On a Measure of the Information Provided by an Experiment[J].The Annals of Mathematical Statistics,1956.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

非常规储层复杂压力系统地球物理刻画：以复兴地区侏罗系储层为例

渝东北“7·8”强降雨诱发滑坡成灾背景与触发阈值

苯胺污染场地修复技术研究进展

评论：基于相场法的高压电脉冲压裂岩体裂缝扩展规律

乌蒙山区特长极深隧道隧址区地应力场分布特征及反演分析

Related Author

罗兵

张道洪

刘其军

陈爱琼

Related Institution

中国石油化工股份有限公司江汉油田分公司勘探开发研究院

AI问答

⁰